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Image quality improvement using model-based iterative reconstruction in low dose chest CT for children with necrotizing pneumonia

Overview of attention for article published in BMC Medical Imaging, March 2017
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Title
Image quality improvement using model-based iterative reconstruction in low dose chest CT for children with necrotizing pneumonia
Published in
BMC Medical Imaging, March 2017
DOI 10.1186/s12880-017-0177-9
Pubmed ID
Authors

Jihang Sun, Tong Yu, Jinrong Liu, Xiaomin Duan, Di Hu, Yong liu, Yun Peng

Abstract

Model-based iterative reconstruction (MBIR) is a promising reconstruction method which could improve CT image quality with low radiation dose. The purpose of this study was to demonstrate the advantage of using MBIR for noise reduction and image quality improvement in low dose chest CT for children with necrotizing pneumonia, over the adaptive statistical iterative reconstruction (ASIR) and conventional filtered back-projection (FBP) technique. Twenty-six children with necrotizing pneumonia (aged 2 months to 11 years) who underwent standard of care low dose CT scans were included. Thinner-slice (0.625 mm) images were retrospectively reconstructed using MBIR, ASIR and conventional FBP techniques. Image noise and signal-to-noise ratio (SNR) for these thin-slice images were measured and statistically analyzed using ANOVA. Two radiologists independently analyzed the image quality for detecting necrotic lesions, and results were compared using a Friedman's test. Radiation dose for the overall patient population was 0.59 mSv. There was a significant improvement in the high-density and low-contrast resolution of the MBIR reconstruction resulting in more detection and better identification of necrotic lesions (38 lesions in 0.625 mm MBIR images vs. 29 lesions in 0.625 mm FBP images). The subjective display scores (mean ± standard deviation) for the detection of necrotic lesions were 5.0 ± 0.0, 2.8 ± 0.4 and 2.5 ± 0.5 with MBIR, ASIR and FBP reconstruction, respectively, and the respective objective image noise was 13.9 ± 4.0HU, 24.9 ± 6.6HU and 33.8 ± 8.7HU. The image noise decreased by 58.9 and 26.3% in MBIR images as compared to FBP and ASIR images. Additionally, the SNR of MBIR images was significantly higher than FBP images and ASIR images. The quality of chest CT images obtained by MBIR in children with necrotizing pneumonia was significantly improved by the MBIR technique as compared to the ASIR and FBP reconstruction, to provide a more confident and accurate diagnosis for necrotizing pneumonia.

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The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 19%
Other 4 13%
Student > Postgraduate 4 13%
Student > Doctoral Student 2 6%
Student > Ph. D. Student 2 6%
Other 5 16%
Unknown 9 28%
Readers by discipline Count As %
Medicine and Dentistry 11 34%
Nursing and Health Professions 4 13%
Business, Management and Accounting 1 3%
Computer Science 1 3%
Unspecified 1 3%
Other 4 13%
Unknown 10 31%